Lead Data Engineer(Snowflake/DBT)

As part of the team, you will be responsible for building and running the data pipelines and services that are required to support business functions/reports/dashboard..

We are heavily dependent on BigQuery/Snowflake, Airflow, Stitch/Fivetran, dbt , Tableau/Looker for our business intelligence and embrace AWS with some GCP.

As a Data Engineer you ll be:

Developing end to end ETL/ELT Pipeline working with Data Analysts of business Function.
Designing, developing, and implementing scalable, automated processes for data extraction, processing, and analysis in a Data Mesh architecture
Mentoring Fother Junior Engineers in the Team
Be a go-to expert for data technologies and solutions
Ability to provide on the ground troubleshooting and diagnosis to architecture and design challenges
Troubleshooting and resolving technical issues as they arise
Looking for ways of improving both what and how data pipelines are delivered by the department
Translating business requirements into technical requirements, such as entities that need to be modelled, DBT models that need to be build, timings, tests and reports
Owning the delivery of data models and reports end to end
Perform exploratory data analysis in order to identify data quality issues early in the process and implement tests to ensure prevent them in the future
Working with Data Analysts to ensure that all data feeds are optimised and available at the required times. This can include Change Capture, Change Data Control and other delta loading approaches
Discovering, transforming, testing, deploying and documenting data sources
Applying, help defining, and championing data warehouse governance: data quality, testing, coding best practices, and peer review
Building Looker Dashboard for use cases if required

WHAT WE ARE LOOKING FOR:

Our Tech Stack: